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Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12710/27015
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dc.contributor.authorIapăscurtă, Victor-
dc.date.accessioned2024-04-18T10:07:59Z-
dc.date.available2024-04-18T10:07:59Z-
dc.date.issued2024-
dc.identifier.citationIAPĂSCURTĂ, Victor. The combined use of agent-based modeling (ABM) and system dynamics modeling (SDM) for tissue engineering: a raw example of interaction at different scales. In: Cells and Tissues Transplantation. Actualities and Perspectives: the materials of the nat. scientific conf. with internat. particip., the 2nd ed. Chisinau, March 29-30th 2024: [abstracts]. Chişinău: CEP Medicina, 2024, p. 8. ISBN 978-9975-82-366-1.en_US
dc.identifier.isbn978-9975-82-366-1-
dc.identifier.urihttp://repository.usmf.md/handle/20.500.12710/27015-
dc.description.abstractBackground. ABM can be used to model individual structures as cells, organs, systems, and their interactions, considering factors such as cell migration, proliferation, and differentiation. SDM can then help capture the overall dynamics of the tissue and organ system, incorporating factors like nutrient distribution, oxygen levels, and growth factors. By combining both models, researchers can comprehensively understand how cells/tissues/organs behave and interact. This paper explores how ABM and SDM can benefit tissue engineering, uncovering the potential for future models. Materials and methods. The NetLogo integrated development environment (IDE) is used for this research. The “regular” part of this IDE is used to showcase some cell interactions and dynamics, and the system dynamic modeler serves to represent the interaction of three systems: (a) maternal, (b) fetoplacental system, and (c) the fetus. Results. A hybrid model that combines ABM and SDM was created using the NetLogo programming environment. The ABM component visualizes the behavior of cells (i.e., erythrocytes) at the placental level. The SDM component consists of three subsystems: (a) the maternal system (primarily, elements that determine oxygen transport), (b) the fetoplacental system, and (c) the fetal system (with emphasis on the elements that determine oxygen delivery to the fetus, DfetusO2). The DfetusO2 value is influenced by the dynamics of the physiological parameters, which are the foundation of the three subsystems and can be monitored using traditional methods. Modifying specific parameters within each subsystem directly impacts DfetusO2, the central element of the model's graphical interface. In this way, one can continuously monitor oxygen delivery to fetal tissues. The demo version of the created model includes several scenarios: (a) state of anesthesia, (b) maternal pathology (e.g., anemia, heart failure, etc.), and (c) fetoplacental pathology (e.g., abruptio placentae). The model is available at https://modelingcommons.org/browse/one_model/6688#model_tabs_browse_info Conclusions. This example demonstrates the successful integration of ABM and SDM that can serve as leverage for tissue engineering research, enabling a more comprehensive understanding of cell/tissue and system behavior and prediction of complex biological processes. By combining the strengths of both modeling approaches, researchers can gain deeper insights into tissue dynamics and design more effective interventions.en_US
dc.language.isoenen_US
dc.publisherCEP Medicinaen_US
dc.relation.ispartofCells and tissues transplantation. Actualities and perspectives. The 2-nd edition. Chisinau, March 29-30th 2024en_US
dc.subjectagent-based modelingen_US
dc.subjectsystem dynamics modelingen_US
dc.subjecttissue engineeringen_US
dc.subjectoxygen deliveryen_US
dc.subjectmaternal systemen_US
dc.subjectfetoplacental systemen_US
dc.subjectfetusen_US
dc.titleThe combined use of agent-based modeling (ABM) and system dynamics modeling (SDM) for tissue engineering: a raw example of interaction at different scalesen_US
dc.typeOtheren_US
Appears in Collections:The Materials of the National Scientific Conference with International Participation, the 2nd edition, Chisinau, March 29-30th 2024: [Abstracts]

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